LMSRLS

该代码为用matlab编写的训练神经网络拟合典型函数曲线的经典程序。(The code is made for training neural network to fit the classical function profile.)

心电信号处理关键技术的研究 一些心电处理算法既相关论文 适合从事生物医学工程相关研究的人员(ECG deal with some of the key technology of ECG processing algorithm suitable for both papers related biomedical engineering research personnel)

BP算法用MATLAB语言的实现方法 文献内系统讲述了BP网络的定义 算法 建模和应用的知识，方便大家学习使用(BP Algorithm Implementation with MATLAB language)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

利用MATLAB编码来解决离散正交多项式。(The use of MATLAB code to solve the discrete orthogonal polynomials.)

函数查找最小边的权重匹配给出的M×N的边缘 使用匈牙利算法权重矩阵的权重 A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. ( A function for finding a minimum edge weight matching given a MxN Edge weight matrix WEIGHTS using the Hungarian Algorithm. )

听觉模型的算法实现，分5个步骤，得到听觉谱矩阵。(Auditory model algorithm, in five steps, get auditory spectrum matrix.)

小波分析理论与matlab实现 需用超星浏览器打开(wavelet analysis using matlab)

用matlab写的三个径向基神经网络程序，分别为基于聚类的RBF，基于梯度法的RBF ，基于OLS 的RBF神经网络(using Matlab wrote three RBFNN procedures were based on the clustering of RBF, Based on the RBF gradient method, based on the OLS RBFNN)

SVM分类、回归预测，frauto版本，很好用(matlab SVC SVR)